The purpose of this study is to develop a new tool that uses information collected before life-sustaining treatments are withdrawn to better predict whether a patient will die within the time needed for organ donation to be possible. The tool created should help improve planning for organ donation and provide families and healthcare teams with more accurate information.
Study Type
OBSERVATIONAL
Enrollment
102
Cumming School of Medicine
Calgary, Alberta, Canada
UBC/East Kootenay Regional Hospital
Cranbrook, British Columbia, Canada
Kelowna General Hospital
Kelowna, British Columbia, Canada
To develop a clinically applicable model to predict dying duration in a cohort of patient eligible for donation after circulatory death
Specifically, we aim at assessing the predictive ability of blood-based brain biomarkers, optic nerve sheet diameter as measured by head computed tomography (CT) scans as a surrogate of intracranial pressure and autonomic dysfunction as reflected by abnormal heart rate variability (HRV) to predict the dying duration.
Time frame: The models will be built to predict death within 30, 60 and 120 minutes
Comparison of the brain-to-heart model to existing models
Our secondary aim will be to compare the created models with available models (e.g., DCD-N, UNOS, Wisconsin) and to physician gestalt
Time frame: The models will be compared for death within 30, 60 and 120 minutes
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Royal Columbian Hospital
New Westminster, British Columbia, Canada
Surrey Memorial Hospital
Surrey, British Columbia, Canada
Vancouver General Hospital
Vancouver, British Columbia, Canada
University of Manitoba Health Sciences Center
Winnipeg, Manitoba, Canada
University Hospital - London Health Sciences Centre
London, Ontario, Canada
Lakeridge Health
Oshawa, Ontario, Canada
Children's Hospital of Eastern Ontario (CHEO)
Ottawa, Ontario, Canada
...and 1 more locations